遥感影像条带噪声去除的小波变分法  

Stripe noise removal of remote image based on wavelet variational method

作　　者：王昶[1,2] 张永生 王旭[3] 纪松 WANG Chang;ZHANG Yongsheng;WANG Xu;JI Song(School of Civil Engineering,University of Science and Technology Liaoning,Anshan 114051,China;Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450001,China;Forestry Institute,Liaoning vocational college of ecological engineering,Shenyang 110101,China)

机构地区：[1]辽宁科技大学土木工程学院,辽宁鞍山114051 [2]信息工程大学地理空间信息学院,河南郑州450001 [3]辽宁生态工程职业学院林学院,辽宁沈阳110101

出　　处：《测绘学报》2019年第8期1025-1037,共13页Acta Geodaetica et Cartographica Sinica

基　　金：国家自然科学基金(41671409;41401534)~~

摘　　要：为了避免条带噪声去除过程中丢失影像细节,提出一种基于小波变分法去除遥感影像条带噪声。首先,对含有条带噪声的遥感影像进行小波分解;其次,通过构建的条带保留变分模型(SPVM)去除低层高频分量(含条带噪声)中的细节信息而保留条带噪声,从而有效分离出低层高频分量(含条带噪声)中的细节信息;通过构建的条带去除变分模型(DVM)去除高层高频分量(含条带噪声)中的条带噪声,从而有效地保留高层高频分量(含条带噪声)中的细节信息;最后,通过小波重构,获得去噪影像。试验证明本文方法在去除条带噪声的同时基本没有丢失影像细节,去噪后的影像对比度及质量都是最优的。In order to avoid the loss of image details in the process of strip noise removal,a method based on wavelet variational method was proposed to remove strip noise of remote images.First,remote image with stripe noise was decomposed by wavelet technology.Second,a stripe preserve variation model was constructed,this model could effectively remove image details from the wavelet horizontal direction high-frequency components in lower layers and only preserve the stripe noise,and the details are effectively separated;a destriping variation model was constructed,this model could effectively preserve the image details while removing the strip noise form the wavelet horizontal direction high-frequency components in the top layers.Finally,the destriping image was obtained by wavelet reconstruction.Experimental results show that the proposed method not only can effectively restrain the stripe noise of remote image,and can be also preserve the image details very well.The quality and contrast of destriping image are the best.

关 键 词：小波变换 条带保留变分模型 条带去除变分模型 高频分量 遥感影像 

分 类 号：P237[天文地球—摄影测量与遥感]